Python is an interpreted language, but the libraries used (like pyuipc ) are wrappers around C/C++ DLLs. This means the communication is surprisingly fast. For reading simple data like airspeed or heading, the latency is negligible, making it suitable for real-time instrument feedback.
If you have built custom panels using , you can use Python to read the Arduino serial input and send commands to MSFS via FSUIPC, allowing you to use custom rotary encoders or switches not directly supported by the sim. B. Flight Analytics and Data Logging
Because FSUIPC is a Windows-based tool, all FSUIPC Python libraries operate on . Prerequisites: Flight Simulator: MSFS, P3D, or FSX.
import pyuipc
acts as a massive shared memory bank. It tracks thousands of "offsets" (specific hex addresses) that store every imaginable variable about your flight. Python interacts with this via a client wrapper, most commonly the fsuipc library on GitHub
prepared = fsuipc.prepare_data([ (0x0366, "b") ], True) is_on_ground = prepared.read()
def set_parking_brake(engaged: bool): """ Engage or disengage the parking brake. FSUIPC offset 0x3102: 0 = brake off, 1 = brake on. """ with FSUIPC() as fsuipc: # Prepare a write operation: note the second argument is False. prepared = fsuipc.prepare_data([(0x3102, "B")], False) prepared.write([1 if engaged else 0]) print(f"Parking brake 'engaged' if engaged else 'released'") fsuipc python
import time import fsuipc try: # Establish a connection to the running FSUIPC application with fsuipc.FSUIPC() as sim: print("Successfully connected to the Flight Simulator!") # Prepare the offset for the landing gear position (Offset: 0x0BEC, Size: 4 bytes, Integer) # Value ranges from 0 (Fully Retracted) to 16383 (Fully Extended) gear_offset = sim.prepared_data("4i", 0x0BEC) while True: # Read the current memory state sim.read() gear_position = gear_offset.value percentage = (gear_position / 16383) * 100 print(f"Landing Gear Status: percentage:.1f% Extended") time.sleep(1) except fsuipc.FSUIPCException: print("Error: Could not connect to FSUIPC. Is the simulator running?") Use code with caution. 2. Writing Data back to the Simulator
This guide provides a comprehensive introduction to using Python with to interact with flight simulators (Microsoft Flight Simulator, FSX, P3D, and MSFS via FSUIPC7).
: Easily bridge your sim data to Arduino or Raspberry Pi projects for physical cockpit builds. Summary Python is an interpreted language, but the libraries
The primary strength of using Python with FSUIPC is the depth of control. You aren't just pressing buttons; you are manipulating memory offsets. If the simulator tracks a value (from the battery voltage to the exact position of a flaps lever), you can read it. This allows you to create custom logic that the default simulator doesn't support. For example, you can write a script that says: "If the battery voltage drops below 24V and the engines are off, automatically trigger a master caution light."
finally: client.close()
This comprehensive guide explores how to use , setting up your environment, reading and writing simulator data, and building a fully functional telemetry logger. What is FSUIPC? If you have built custom panels using ,